STARTUP AUTHENTICATION METHOD FOR INTELLIGENT TERMINAL

• US 20200134340A1
• Filed: 12/31/2019
• Published: 04/30/2020
• Est. Priority Date: 12/28/2019
• Status: Active Grant

• Current Assignee: Beijing Taitan Technology Co., Ltd.
• Original Assignee: Beijing Taitan Technology Co., Ltd.
• Inventors: Hu, Guohui
• Granted Patent: US 11,120,284 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06V 10/44 Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
• CPC Class Codes: G06V 40/107 Static hand or arm
• CPC Class Codes: G06V 40/113 Recognition of static hand signs
• CPC Class Codes: G06V 40/117 Biometrics derived from hands
• CPC Class Codes: G06V 40/28 Recognition of hand or arm movements, e.g. recognition of deaf sign language static hand signs G06V40/113
• CPC Class Codes: G06V 40/70 Multimodal biometrics, e.g. combining information from different biometric modalities

Abstract

Disclosed is a startup authentication method for an intelligent terminal, including first performing face authentication, and continuing to perform gesture-based virtual password authentication after the face authentication, wherein even if the face authentication is cracked, the gesture-based password authentication is required to perform for logging in, so the disclosure can effectively improve the security of authentication. Further, in the disclosure, the gesture-based virtual password authentication is performed based on a gesture image input by a user in the air, so that since there is no need to perform input operations on a screen of the intelligent terminal, the aesthetics of the intelligent terminal will not be affected. Moreover, in the disclosure, when the virtual password is determined by detecting binary images of fingertips, the disturbance of the binary images of the fingertips is also removed, which can improve the probability and efficiency in subsequent detection of the virtual password.

Claims

1. A startup authentication method for an intelligent terminal, comprising steps of:

initiating the intelligent terminal for startup;

performing a face authentication on a user;

initiating a user gesture authentication after the face authentication, and capturing a gesture image input by the user in the air;

processing the captured gesture image of each frame to extract a fingertip binary image corresponding to the frame, wherein the fingertip binary image comprises a black background image block and a white fingertip image block;

starting from a fingertip binary image at a starting frame, detecting a displacement of the fingertip image block at a current frame with respect to the fingertip image block at a previous frame, determining the fingertip image block at the current frame as a perturbed fingertip binary image when the displacement is less than a predetermined threshold, then continuing to detect a displacement of the fingertip image block at a next frame with respect to the fingertip image block at the current frame, determining the fingertip image block at the next frame as the perturbed fingertip binary image when the displacement is less than a predetermined threshold, and then continuing to detect the fingertip binary images at subsequent frames until the detection of the fingertip binary image at a last frame is completed, and then removing the perturbed fingertip binary images to finally determine a valid fingertip binary image;

generating a fingertip motion trajectory according to coordinates of each fingertip in a valid fingertip binary image, and determining a virtual password corresponding to the fingertip motion trajectory;

determining whether the virtual password matches a preset virtual password, and passing the authentication if yes to allow logging in the intelligent terminal.

2. The method according to claim 1, wherein the fingertip binary image is extracted by:

performing a skin color segmentation for the gesture image at each frame to obtain a skin-color-segmented image;

extracting a palm binary image from the skin-color-segmented image according to the predetermined threshold;

extracting a palm contour binary image from the palm binary image;

extracting the fingertip binary image from the palm contour binary image.

3. The method according to claim 2, further comprising:

for the extracted palm contour binary image, smoothing the palm contour according to a polygon with minimum perimeter of a boundary of the palm contour.

4. The method according to claim 1, further comprising performing an image sharpening on the captured gesture image input b the user in the air.

5. The method according to claim 1, wherein the intelligent terminal comprises a smart phone, a computer, a tablet, and an intelligent watch.